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  1. LocalOutlierFactor — scikit-learn 1.7.2 d...

    See the documentation of scipy.spatial.distance...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html
    Fri Dec 05 17:52:55 GMT 2025
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  2. Create Elasticsearch index engines | App Search...

    engines IMPORTANT : This documentation is no longer updated. Refer...version policy and the latest documentation . Create Elasticsearch index...
    www.elastic.co/guide/en/app-search/8.19/elasticsearch-engines-create.html
    Mon Oct 20 16:30:54 GMT 2025
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  3. scikit-learn: machine learning in Python &#8212...

    Skip to main content Back to top Ctrl + K scikit-learn Machine Learning in Python Getting Started Release Highlights ...
    scikit-learn.org/stable/index.html
    Fri Dec 05 17:52:54 GMT 2025
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  4. 2.1. Gaussian mixture models — scikit-lea...

    sklearn.mixture is a package which enables one to learn Gaussian Mixture Models (diagonal, spherical, tied and full covariance matrices supported), sample them, and estimate them from data. Facilit...
    scikit-learn.org/stable/modules/mixture.html
    Fri Dec 05 17:52:54 GMT 2025
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  5. 7.1. Pipelines and composite estimators —...

    To build a composite estimator, transformers are usually combined with other transformers or with predictors(such as classifiers or regressors). The most common tool used for composing estimators i...
    scikit-learn.org/stable/modules/compose.html
    Fri Dec 05 17:52:55 GMT 2025
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  6. 14. External Resources, Videos and Talks &#8212...

    The scikit-learn MOOC: If you are new to scikit-learn, or looking to strengthen your understanding, we highly recommend the scikit-learn MOOC (Massive Open Online Course). The MOOC, created and mai...
    scikit-learn.org/stable/presentations.html
    Fri Dec 05 17:52:54 GMT 2025
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  7. 11. Common pitfalls and recommended practices &...

    The purpose of this chapter is to illustrate some common pitfalls and anti-patterns that occur when using scikit-learn. It provides examples of what not to do, along with a corresponding correct ex...
    scikit-learn.org/stable/common_pitfalls.html
    Fri Dec 05 17:52:55 GMT 2025
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  8. Demo of affinity propagation clustering algorit...

    Reference: Brendan J. Frey and Delbert Dueck, “Clustering by Passing Messages Between Data Points”, Science Feb. 2007 Generate sample data: Compute Affinity Propagation: Plot result: Total running ...
    scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html
    Fri Dec 05 17:52:54 GMT 2025
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  9. Factor Analysis (with rotation) to visualize pa...

    Investigating the Iris dataset, we see that sepal length, petal length and petal width are highly correlated. Sepal width is less redundant. Matrix decomposition techniques can uncover these latent...
    scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html
    Fri Dec 05 17:52:54 GMT 2025
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  10. Comparison of F-test and mutual information &#8...

    This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3 distributed uniformly over [0, 1], the target depends on t...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_f_test_vs_mi.html
    Fri Dec 05 17:52:55 GMT 2025
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